Spectrum-Effect Relationships between Fingerprints of Caulophyllum robustum Maxim and Inhabited Pro-Inflammation Cytokine Effects

Spectrum-Effect Relationship in Chinese Herbal Medicine: Current Status and Future Perspectives

The quality of Chinese herbal medicine (CHM) directly impacts clinical efficacy and safety. Fingerprint technology is an internationally recognized method for evaluating the quality of CHM. However, the existing quality evaluation models based on fingerprint technology have blocked the ability to assess the internal quality of CHM and cannot comprehensively reflect the correlation between pharmacodynamic information and active constituents. Through mathematical methods, a connection between the "Spectrum" (fingerprint) and the "Effect" (pharmacodynamic data) was established to conduct a spectrum-effect relationship (SER) of CHM to unravel the active component information associated with the pharmacodynamic activity. Consequently, SER can efficiently address the limitations of the segmentation of chemical components and pharmacodynamic effect in CHM and further improve the quality evaluation of CHM. This review focuses on the recent research progress of SER in the field of CHM, including the establishment of fingerprint, the selection of data analysis methods, and their recent applications in the field of CHM. Various advanced fingerprint techniques are introduced, followed by the data analysis methods used in recent years are summarized. Finally, the applications of SER based on different research subjects are described in detail. In addition, the advantages of combining SER with other data are discussed through practical applications, and the research on SER is summarized and prospected. This review proves the validity and development potential of the SER and provides a reference for the development and application of quality evaluation methods for CHM.

Integrating Anti-Influenza Virus Activity and Chemical Pattern Recognition to Explore the Quality Evaluation Method of Lonicerae Japonicae Flos

Lonicerae japonicae flos (LJF, Lonicera japonica Thunb.) is adopted as a core herb for preventing and treating influenza. However, the anti-influenza virus components of LJF and the impact of quality-affecting factors on the anti-influenza activity of LJF have not been systematically investigated. In this study, a strategy integrating anti-influenza virus activity, ultrahigh-performance liquid chromatography fingerprint and chemical pattern recognition was proposed for the efficacy and quality evaluation of LJF. As a result, six bioactive compounds were screened out and identified as neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, 4,5-Di-O-caffeoylquinic acid, sweroside and secoxyloganin. Based on the bioactive compounds, chemical pattern recognition models of LJF were established by a linear discriminant analysis (LDA). The results of the LDA models and anti-influenza virus activity demonstrated that cultivation pattern significantly affected the anti-influenza effect of LJF and that the neuraminidase inhibition rate of wild LJF was significantly higher than that of cultivated LJF. Moreover, the quality of LJF samples with different processing methods and geographical origins showed no obvious difference. Overall, the proposed strategy in the current study revealed the anti-influenza virus components of LJF and provided a feasible method for thequality evaluation of LJF, which has great importance for assuring the clinical effect against influenza of LJF.

Screening out key compounds of Glechomae Herba for antiurolithic activity and quality control based on spectrum-effect relationships coupled with UPLC-QDA

Glechomae Herba (GH) has been widely used in the treatment of urolithiasis, especially kidney stones, in China and Southeast Asia. Pharmacological studies have suggested that the antioxidant property of GH contributes to its anticalculus effect. CaSR is one of the main locations of kidney stones, and the mechanism of action of CaSR inhibitors in the treatment of kidney stones is similar to that of GH. However, until now, the antiurolithic chemical compounds in GH and their interaction with CaSR remain unknown. In our study, we revealed the interaction between the active compounds in GH and the active compounds in CaSR inhibitors by using spectrum-effect relationship analysis, pharmacodynamics, and molecular docking techniques. The results showed ten common peaks from the fingerprints of GH extracts from different regions. Pharmacological experiments showed that GH could significantly treat renal tissue lesions. Chlorogenic acid (CA), rosmarinic acid (RA), P5, luteolin, apigenin, and P9 were screened after the analysis of spectrum-effect relationships. In vitro validation experiments showed that all the screened compounds had inhibitory effects on the development of kidney stones in our model. The molecular docking results showed that the above compounds could be docked with CaSR in a natural state, and the docking score was less than 7. This work constructs a general model for the combination of UPLC-QDA and antiurolithic drugs, studies the spectrum-effect relationship of GH, and provides a new possibility for the development of new antiurolithic drugs.

An integration strategy combined progressive multivariate statistics with anticoagulant activity evaluation for screening anticoagulant quality markers in Chinese patent medicine

ETHNOPHARMACOLOGICAL RELEVANCE

The cardiovascular and cerebrovascular diseases affect human health globally. Naoxintong capsules (NXTs), a famous Chinese Patent Medicine, has been especially applied to treat cerebral infarction and coronary heart disease in clinical practice. The anticoagulant activity of this prescription plays an important role in this course of treatment.

AIM OF THE STUDY

Thrombin and factor Xa (FXa) are two key targets considering the anticoagulant activity. The purpose of this investigation is to screen the quanlity markers as key thrombin and FXa inhibitors for the anticoagulant activity oriented quality control of Chinese patent medicine.

MATERIALS AND METHODS

Simple multi-polar solvent extraction processes using various proportions of solvents were conducted and their thrombin/FXa inhibitory activities were evaluated in vitro. Bivariate correlation analysis (BCA), grey correlation analysis (GCA), and orthogonal partial least squares discriminate analysis (OPLS-DA) were adopted for screening the potential active markers related to the anticoagulant activity. The chemical structures of these active compounds were identified by UHPLC-Q-TOF-MS/MS and their thrombin/FXa inhibitory activity was determined. The molecular docking technology was applied to explore the interaction between the compounds and targets. The contribution of these anticoagulant active ingredients in NXT was also investigated. Last but not the least, the contents of these markers in NXT were determined by liquid chromatography-electrospray ionization tandem triple quadrupole mass spectrometry (HPLC-ESI-MS/MS) method.

RESULTS

The results showed that the NXT extract exhibited great activity against thrombin and FXa, especially extracted by 75% methanol (v/v). Six marker compounds with potential anticoagulant activity were screened out. Therein, four of the active compounds owing thrombin inhibitory activity (paeoniflorin, lithospermic acid, salvianolic acid B, Z-ligustilide) and five of the active compounds owing FXa inhibitory activity (3,5-dicaffeoylquinic acid, rosmarinic acid, lithospermic acid, salvianolic acid B and Z-ligustilide). In addition, these active compounds accounted for a large proportion of thrombin/FXa inhibitory activity of NXTs. The binding energy also showed the strong interaction formed by close connection of the compounds to the residues of targets.

CONCLUSIONS

The proposed integrated stategy could be an efficient strategy to screen potential thrombin/FXa inhibitors for the bioactivity related quanlity control of Chinese patent medicine.

Spectrum-Efficacy Relationships between GC-MS Fingerprints of Essential Oil from Valerianae Jatamansi Rhizoma et Radix and the Efficacy of Inhibiting Microglial Activation

The bioactive ingredients of essential oil from Valerianae Jatamansi Rhizoma et Radix (the Rhizome et Radix from Valerianae Jatamansi Jones) (EOVJRR) on the efficacy of inhibiting microglial activation were investigated with the approach of spectrum-efficacy relationship. Fourteen batches of Valerianae Jatamansi Rhizoma et Radix were extracted and analyzed by gas chromatography-mass spectrometry (GC-MS), and their activities in the efficacy of inhibiting microglial activation were assayed by measuring the inflammatory responses induced by lipopolysaccharide (LPS) in microglia cells from mice. The spectrum-efficacy relationships between fingerprints and the efficacy of inhibiting microglial activation of EOVJRR were established by grey relational analysis (GRA). Twenty common peaks were obtained from the GC-MS fingerprints of EOVJRR. P12 (vetivenol), P1 (bornyl acetate), P5 (seychellene), and P3 (β-elemene) indicated inhibition on microglia activation together, according to the spectrum-efficacy relationships. The current results established a general model for the spectrum-efficacy relationships of EOVJRR by GC-MS and the efficacy of inhibiting microglial activation, which could be applied to identify the bioactive ingredient and control the quality of herbs.

Metabolomic Analysis of the Urine from Rats with Collagen-Induced Arthritis with the Effective Part of Caulophyllum robustum Maxim

Rheumatoid arthritis (RA) is a chronic autoimmune disease with high incidence and high disability and recurrence rates. Caulophyllum robustum Maxim (C. robustum) is a traditional Chinese medicine (TCM) with main effective parts (CRME) commonly used for RA treatment. To explore the mechanism of CRME in RA, we used metabolomics to investigate the effect of CRME intervention on urine metabolism in rats with collagen-induced arthritis (CIA). CIA rats were randomly divided into normal control, CIA model, and CRME groups. A metabolomics approach, using Ultra-Performance Liquid Chromatography-Quadrupole-Time-of-Flight/Mass Spectrometry, was developed to perform urinary metabolic profiling. Differential metabolites were identified by comparing the CIA model and CRME groups. Preliminarily, 56 significant differential metabolites were identified in urine, and 20 metabolic pathways were disturbed by the CIA. The amount of 16 different metabolites changed in urine after CRME intervention. The production of these metabolites involves tryptophan, tyrosine, energy, cholesterol, and vitamin metabolism. CRME has anti-inflammatory and immunosuppressive effects in CIA model rats. By examining the endogenous metabolite levels, we identified potential CRME targets and pathways involved in the treatment of RA. The results of our metabolic studies indicate that CRME regulates amino acid, vitamin, energy, and lipid metabolism pathways to treat RA and may provide a new explanation for the anti-RA mechanism of CRME.

Spectrum-effect relationship between UPLC fingerprints and anti-lung cancer effect of Panax ginseng

OBJECTIVES

Lung cancer has the highest mortality rate among the various types of cancer. Panax ginseng (C. A. Mey). is a popular anti-cancer herbal supplement. The quality control of ginseng is crucial to ensure its clinical efficacy. This study aimed to establish new quality control methods for ginseng and to identify its main active components responsible for lung cancer treatment.

METHODS

Ultra-high-performance liquid chromatography (UPLC) was used to establish fingerprints of 18 batches of ginseng. CCK-8 test was performed to evaluate the inhibitory activity of ginseng on Lewis lung cancer (LLC) cells. The spectrum-effect relationship analysis of ginseng was assessed by canonical correlation analysis (CCA) and bioactivity validation.

KEY FINDINGS

Six common peaks were identified and the variation coefficients were determined. The 18 batches of ginseng inhibited the proliferation of LLC cells to different degrees, showing different half maximal inhibitory concentration (IC₅₀ ) values. Spectrum-effect relationship analysis showed that ginsenoside Ro is the main anti-proliferative constituent of LLC cell.

CONCLUSIONS

Spectrum-effect relationship is suitable for quality control of ginseng used for lung cancer. It is also effective in discovering the active ingredients related to the clinical efficacy of traditional Chinese medicine.

Analysis of bioactive components and pharmacokinetics of Caulophyllum robustum in rat plasma after oral administration by UPLC-ESI-MS/MS

A UPLC-MS/MS method was developed and validated the determination and pharmacokinetic study of magnoflorine, cauloside C, hederagenin, and oleanolic acid from Caulophyllum robustum. Digoxin was used as the internal standard. The pretreated plasma samples were carried out on a Waters ACQUITYUPLC HSS T3 column at 35 °C with a mobile phase of acetonitrile-water (90:10, v/v) at a flow rate of 0.2 mL/min. This article describes the most simple, sensitive, and validated UPLC-MS/MS method to date for the simultaneous successful determination of four compounds in rat plasma after oral administration of the extract of C. robustum and their pharmacokinetic studies.

Screen the Effective Components of Lycopodii herba on Rheumatoid Arthritis with the Aid of Spectrum-Effect Relationship and Uncover its Potential Mechanism

Lycopodii herba (SJC), a traditional Chinese medicine, has the effect of dispelling wind and eliminating dampness (a therapeutic principle and method of traditional Chinese medicine for rheumatoid arthritis), relaxing tendon and activating collaterals. However, the major effective components and its therapeutic mechanism were unclear. In this study, different SJC samples with slightly different compositions were prepared by extracting with different concentrations of ethanol. Then, the therapeutic effects on rheumatoid arthritis (RA) of different SJC samples were evaluated. Finally, the spectrum-effect relationship between UPLC-Q-TOF/MS fingerprints and the effect of RA was explored to screen the effective components. Western blotting was used to study the potential mechanism. The volume of hind paw and the level of RF, TNF-α, and IL-1β were lower after administrating with different SJC samples, compared with the model group. Histopathological findings also confirmed that SJC could relieve the symptoms of RA. Combined with identification of the components in plasm from SJC, lycojaponicumin C, des-N-methyl-α-obscurine, 8β-acetoxy-12β-hydroxy-lycopodine or 8β-acetoxy-11α-hydroxy-lycopodine or 8β-hydroxy-11α-acetoxylycopodine were considered to be the major effective components. The mechanism may be related to AChE/NF-κB signaling pathway. This work provides a general method to screen the potential effective components of herb medicines and would be benefit to understand the mechanism of SJC for the treatment of RA.

A Network Pharmacology-Based Study on the Anti-Lung Cancer Effect of Dipsaci Radix

Objective

Dipsaci Radix (DR) has been used to treat fracture and osteoporosis. Recent reports have shown that myeloid cells from bone marrow can promote the proliferation of lung cancer. However, the action and mechanism of DR has not been well defined in lung cancer. The aim of the present study was to define molecular mechanisms of DR as a potential therapeutic approach to treat lung cancer.

Methods

Active compounds of DR with oral bioavailability ≥30% and drug-likeness index ≥0.18 were obtained from the traditional Chinese medicine systems pharmacology database and analysis platform. The potential target genes of the active compounds and bone were identified by PharmMapper and GeneCards, respectively. The compound-target network and protein-protein interaction network were built by Cytoscape software and Search Tool for the Retrieval of Interacting Genes webserver, respectively. GO analysis and pathway enrichment analysis were performed using R software.

Results

Our study demonstrated that DR had 6 active compounds, including gentisin, sitosterol, Sylvestroside III, 3,5-Di-O-caffeoylquinic acid, cauloside A, and japonine. There were 254 target genes related to these active compounds as well as to bone. SRC, AKT1, and GRB2 were the top 3 hub genes. Metabolisms and signaling pathways associated with these hub genes were significantly enriched.

Conclusions

This study indicated that DR could exhibit the anti-lung cancer effect by affecting multiple targets and multiple pathways. It reflects the traditional Chinese medicine characterized by multicomponents and multitargets. DR could be considered as a candidate for clinical anticancer therapy by regulating bone physiological functions.

Advances in Chemistry and Bioactivity of Magnoflorine and Magnoflorine-Containing Extracts

The review collects together some recent information on the identity and pharmacological properties of magnoflorine, a quaternary aporphine alkaloid, that is widely distributed within the representatives of several botanical families like Berberidaceae, Magnoliaceae, Papaveraceae, or Menispermaceae. Several findings published in the scientific publications mention its application in the treatment of a wide spectrum of diseases including inflammatory ones, allergies, hypertension, osteoporosis, bacterial, viral and fungal infections, and some civilization diseases like cancer, obesity, diabetes, dementia, or depression. The pharmacokinetics and perspectives on its introduction to therapeutic strategies will also be discussed.

A strategy for quality evaluation of salt-treated Apocyni Veneti Folium and discovery of efficacy-associated markers by fingerprint-activity relationship modeling

In this study, a fingerprint-activity relationship between chemical fingerprints and hepatoprotective activity was established to evaluate the quality of salt-treated Apocyni Veneti Folium (AVF). Characteristic fingerprints of AVF samples exposed to different concentrations of salt were generated by ultrafast liquid chromatography tandem triple time-of-flight mass/mass spectrometry (UFLC-Triple TOF-MS/MS), and a similarity analysis was performed based on common characteristic peaks by hierarchical clustering analysis (HCA). Then, the hepatoprotective activity of AVF against CCl₄-induced acute liver damage in mice was investigated by assessing biochemical markers and histopathology, which showed that a high dose of AVF exposed to low levels of salt stress produced a marked amelioration of hepatic damage compared with the other salt-treated AVF. Finally, fingerprint-activity relationship modeling, which was capable of discovering the bioactive markers used in the quality evaluation, was investigated by the chemical fingerprints and the hepatoprotective activities utilizing multivariate statistical analysis, gray correlation analysis (GCA) and bivariate correlation analysis (BCA). The results showed that the accumulation of polyphenols, such as flavonoids and phenolic acids, in AVF subjected to low levels of salt stress could result in the effective scavenging of free radicals. Therefore, the present study may provide a powerful strategy to holistically evaluate the quality of salt-treated AVF in combination with chemical fingerprint and bioactivity evaluation.

Quercetin is the Active Component of Yang-Yin-Qing-Fei-Tang to Induce Apoptosis in Non-Small Cell Lung Cancer

Yang-Yin-Qing-Fei-Tang (YYQFT) is a well-known traditional Chinese medicine used in the treatment of chronic obstructive pulmonary emphysema, bronchitis, cytomegaloviral pneumonia, but the mechanisms of the medicine are not clear. This study aimed to identify the active components of YYQFT and elucidate the underlying mechanism on non-small cell lung cancer. First, YYQFT was extracted with different solvents, and then the most effective extract was determined by assessing their effects on non-small cell lung cancer cell growth. Second, several active compounds from YYQFT were identified, and quercetin was the one of the important active ingredients. Subsequently, the in vivo antitumor activity of quercetin was confirmed in a lung cancer xenograft model in mice. 200 μ g/mL quercetin significantly reduced tumor volume without affecting body weight of the mice. Furthermore, induction of apoptosis by quercetin was detected in tumor tissues treated with quercetin. Multiple apoptosis related genes including p53, Bax and Fas were upregulated by quercetin in tumor tissue and the ratio of Bax/Bcl-2 was increased accordingly. Our results demonstrated that quercetin, as the main effective component of the YYQFT, has potent inhibitory activity on non-small cell lung cancer by regulating the ratio of Bax/Bcl-2.

Spectrum-Effect Relationships Between the Bioactive Ingredient of Syringa oblata Lindl. Leaves and Its Role in Inhibiting the Biofilm Formation of Streptococcus suis

Syringa oblata Lindl. (S. oblata) has been used in herbal medicines for treating bacterial diseases. It is also thought to inhibit Streptococcus suis (S. suis) biofilm formation. However, due to the inherent nature of the complexity in its chemical properties, it is difficult to understand the possible bioactive ingredients of S. oblata. The spectrum-effect relationships method was applied to screen the main active ingredients in S. oblata obtained from Heilongjiang Province based on gray relational analysis. The results revealed that Sub-MICs obtained from 10 batches of S. oblata could inhibit biofilm formation by S. suis. Gray relational analysis revealed variations in the contents of 15 main peaks and rutin was discovered to be the main active ingredient. Then, the function of rutin was further verified by inhibiting S. suis biofilm formation using crystal violet staining. Computational studies revealed that rutin may target the chloramphenicol acetyltransferase protein in the biofilm formation of S. suis. In conclusion, this study revealed that the spectrum-effect relationships and computational studies are useful tools to associate the active ingredient with the potential anti-biofilm effects of S. oblata. Here, our findings would provide foundation for the further understanding of the mechanism of S. oblata intervention in biofilm formation.